Algorithmic feeds are digital content streams, such as social media timelines or news feeds, curated and ordered by automated algorithms rather than chronological order or user selection. These algorithms analyze user behavior, preferences, and engagement patterns to prioritize and display content most likely to capture attention or drive interaction. While algorithmic feeds can enhance user experience by surfacing relevant information, they also raise cybersecurity and privacy concerns, such as data profiling, filter bubbles, and susceptibility to manipulation or misinformation. Understanding how algorithmic feeds function is crucial for individuals and organizations seeking to manage digital risks and maintain control over their online information exposure.